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Intuitive biostatistics
a nonmathematical guide to statistical thinking
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Author: Motulsky, Harvey
Year: 2010
Publisher: Oxford, Oxford University Press
Media group: Ausleihbestand
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Branch: Hauptstelle Locations: BI-50 90 Status: available Reservations: 0 Due date: Barcode: 00259101 Floor plans: Floor plan Lending note:
Content
Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes. Intuitive Biostatistics, Completely Revised Second Edition, provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists.
Table of Contents
Preface
PART A. INTRODUCING STATISTICS
1. Statistics and Probability Are Not Intuitive
2. Why Statistics Can Be Hard to Learn
3. From Sample to Population
PART B. CONFIDENCE INTERVALS
4. Confidence Interval of a Proportion
5. Confidence Interval of Survival Data
6. Confidence Interval of Counted Data
Part C. CONTINUOUS VARIABLES
7. Graphing Continuous Data
8. Types of Variables
9. Quantifying Scatter
10. The Gaussian Distribution
11. The Lognormal Distribution and Geometric Mean
12. Confidence Interval of a Mean
13. The Theory of Confidence Intervals
14. Error Bars
PART D. P VALUES AND SIGNIFICANCE
15. Introducing P Values
16. Statistical Significance and Hypothesis Testing
17. Relationship Between Confidence Intervals and Statistical Significance
18. Interpreting a Result That is Statistically Significant
19. Interpreting a Result That Is Not Statistically Significant
20. Statistical Power
21. Testing For Equivalence or Noninferiority
PART E. CHALLENGES IN STATISTICS
22. Multiple Comparisons Concepts
23. Multiple Comparison Traps
24. Gaussian or Not?
25. Outliers
PART F. STATISTICAL TESTS
26. Comparing Observed and Expected Distributions
27. Comparing Proportions: Prospective and Experimental Studies
28. Comparing Proportions: Case-Control Studies
29. Comparing Survival Curves
30. Comparing Two Means: Unpaired t test
31. Comparing Two Paired Groups
32. Correlation
PART G. FITTING MODELS TO DATA
33. Simple Linear Regression
34. Models
35. Comparing Models
36. Nonlinear Regression
37. Multiple, Logistic, and Proportional Hazards Regression
38. Multiple Regression Traps
PART H. THE REST OF STATISTICS
39. Analysis of Variance
40. Multiple Comparison Tests After ANOVA
41. Nonparametric Methods
42. Sensitivity Specificity and Receiver-Operator Characteristic Curves
43. Sample Size
PART I. PUTTING IT ALL TOGETHER
44. Statistical Advice
45. Choosing a Statistical Test
46. Capstone Example
47. Review Problems
48. Answers to Review Problems
APPENDICES
A. Statistics with GraphPad
B. Statistics With Excel
C. Statistics R
D. Values of the t Distribution Needed to Compute CIs
E. A Review of Logarithms
References
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Details
Statement of Responsibility: Harvey Motulsky
Year: 2010
Publisher: Oxford, Oxford University Press
Classification: BI-50
Subject type: Lehrbuch
ISBN: 9780199730063
ISBN (2nd): 0-19-973006-7
Description: completely revised 2. edition, 3. printing, XXVI, 447, 15, 8, 6 S. : graph. Darst.
Tags: Biologie Methoden
Language: englisch||
Footnote: Literaturangaben
Media group: Ausleihbestand

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